慢扫速示波计时电位法同时测定合金中的铅与锌

采用慢扫速示波计时电位法同时测定铝合金中的铅与锌。该方法具有简便、快速,干扰小,选择性高等优点,特别适合于在其它离子共存条件下,测定合金样品中某种金属元素的含量。通过对铝合金样品中铅、锌测定,平均回收率和RSD分别为99.18%,99.00%和11%,16%。     

Slow-trap profiling of NO and N2O nitrided oxides grown on Si and SiC substrates

In this paper, we demonstrate the unique ability of a newly developed slow-trap profiling technique to characterise silicon-based MOS capacitors in strong inversion. We also demonstrate the applicability of the slow-trap profiling technique for the characterisation of oxides grown on SiC. The obtained slow-trap profiles show that NO nitridation eliminates while N₂O creates defects acting as slow traps in the case of both Si and SiC substrates. The corresponding effects of nitridation on interface traps and fixed oxide charge are also discussed.     

Understanding the pyrolysis behavior of agriculture,forest and aquatic biomass: Products distribution and characterization

Pyrolysis studies on agricultural (rice straw), forest (pine) and aquatic (Ulva lactuca) biomass were carried out in a fixed bed reactor at different temperature range of 300–550 °C. The product distributions and their characterization of products were compared among these biomasses. The maximum liquid product yield 29.4, 57.5 and 25.6 wt% obtained at 400, 500 and 400 °C respectively from rice straw (RS), pine (PN) and Ulva lactuca (UL) biomass. However, the higher conversion was observed in the case of pine wood biomass 77.0% at 550 °C. From the GC-MS analysis, it is observed that RS and PN bio-oil mostly composed of derivatives of phenolic compounds, while UL bio-oil composed of cyclopentenone derivatives compounds. The highest higher heating value (HHV) was found in pine bio-oil 34.8 MJ/kg. Also PN pyrolytic bio-oil had higher boiling point differences compounds. The bio-char analysis showed that the PN bio-char is a carbon rich and porous in nature as compared to the RS and UL bio-char.     

数据包时延及控制策略的研究

许多网络应用使用TCP协议,为了能够获得可靠的数据传送服务,作为开发人员除了关心可靠性外,还要考虑拥塞控制的问题,本文中提到的拥塞控制窗口,能够实现数据速率的控制。TCP协议采用慢启动和拥塞避免策略实现端到端的数据传送。     

基于LINAC慢正电子源的EGS4模拟

介绍基于ＢＥＰＣ ＬＩＮＡＣ和ＢＦＥＬ ＬＩＮＡＣＥ慢正电子束设备中正电子源部分的Ｍｏｎｔｅ－Ｃａｒｌｏ模拟过程。结果表明,从Ｔａ靶出射的快正电子产额在ＢＥＰＣ ＬＩＮＡＣ和ＢＦＥＬ ＬＩＮＡＣ运行兼容模式时分别为１．８４＊１０＾１０／ｓ和３．９＊１０＾１１／Ｓ。     

S、C、X波段螺旋线慢波结构的宽频带行波管研究

为满足现代信息化战争对宽带行波管的需求,对S、C、X波段螺旋线行波管慢波结构的性能进行了研究分析.为适应宽频带要求,选用了带有T形加载翼片以及品形氮化硼夹持杆的螺旋线慢波结构;通过采用动态速度渐变技术,得到了较高的电子效率,并根据仿真计算结果成功研制出了S、C、X波段螺旋线行波管样管.     

脉冲慢正电子束流的检测

本工作设计了一种通过测量脉冲慢正电子湮没辐射在闪烁探测器的积分效应进行测量和标定脉冲正电子束流强度的方法.通过对探测器的刻度,定量测量了北京慢正电子强束流项目中慢正电子束流的流强和能谱发布,为脉冲正电子束流的直流化设计提供了依据.     

Effect of high-pressure hydrogen environment in elastic and plastic deformation regions on slow strain rate tensile tests for iron-based superalloy A286

To investigate the effects of a high-pressure hydrogen environment in the elastic and plastic deformation regions, we performed slow strain-rate tensile tests of iron-based superalloy A286 at 150 °C by switching the atmosphere from 70 MPa hydrogen to air during the tests. The relationship between the nominal strain exposed to a hydrogen environment and the relative reduction in area (RRA) revealed that in the plastic deformation region, the RRA value decreased gradually depending on the nominal strain exposed to hydrogen, but in the elastic deformation region, the RRA value decreased rapidly. The RRA value further decreased when the stress cycle was applid in the elastic region. The fracture surface exhibited an intragranular slip plane fracture similar to that of the hydrogen-charged specimen. These phenomena suggest that the lattice decohesion theory is dominant in the elastic region, where hydrogen embrittlement occurs owing to an increase in the content of dissolved hydrogen.     

Energy consumption mode identification and monitoring method of process industry system under unstable working conditions

Process industry systems under unstable working conditions are prone to potential anomalies, deviating from the original transition trajectory, and taking longer than expected to return to stability due to persistent disturbances from uncertainties and experience-based regulation errors. The energy waste caused by this situation has not received sufficient attention, and cannot be addressed by existing energy consumption monitoring methods. Herein, an energy consumption mode (ECM) identification and monitoring method under unstable working conditions is proposed, consisting of ECM identification model and multi-mode dynamic monitoring model, focusing on the variation rules of the correlation between energy consumption and other states of the system. In the ECM identification stage, the ECM correlation parameters that reflect the comprehensive production information are selected. Then, given the transfer characteristics of ECM, a Hidden Semi-Markov Model (HSMM) is constructed to fit the migration between modes and the duration within modes. The Variational Bayesian Gaussian Mixture Model is introduced to improve the HSMM, which solves the problem of lacking prior knowledge of ECM and achieves the automatic classification and online identification of ECM. In the dynamic monitoring stage of multi-ECMs, a series of dynamic kernel principle component analysis models are established, and the corresponding monitoring thresholds are set for each ECM. By calculating the maximum of the posteriori probability and the mode thresholds, the ECMs under unstable conditions can be accurately identified and automatically monitored. Compared with previous methods, the proposed method reduces the false detection rate and missed detection rate of abnormal ECM identification to 1.04% and 1.31% in the actual slag grinding production process, which proves its effectiveness.     

Crack growth rate in hydrogen pre-charged martensitic steels during slow strain rate tests

Crack growth rate in two high strength martensitic steels with the Mo contents of 0.43 wt.% and 1.06 wt.% was investigated by means of slow strain rate tests (SSRT) on compact tensile specimens after hydrogen pre-charging. It was found that the crack growth rate increased and the values of stress intensity factors K_IH and K_Imax decreased with the increase of pre-charged hydrogen concentration. The steel with higher Mo content showed much lower crack growth rate than the steel with lower Mo content. It could be attributed to more nano-sized precipitates that can act as the hydrogen trapping sites and mitigate hydrogen deleterious effects on crack growth rate and the K_IH and K_Imax values.